🧠 Most Asked Data Analyst Interview Question

❓ “How do you handle missing data?”

❌ Weak answer:
“I remove the rows.”

✅ Strong answer:
“It depends on the business impact and data context.”

✔️ Check how much data is missing
✔️ Understand why it’s missing
✔️ Decide based on use case:
• Drop rows (if very small % and random)
• Impute (mean/median/mode)
• Flag missing values
• Leave as-is if meaningful

🎯 Interviewer is testing:
Your decision-making, not your tools.

💡 Always explain why, not just how.

👍 React if you want Interview Prep #2 tomorrow